THE DETERMINANTS OF HOUSEHOLD FERTILITY DECISION IN INDIA: POISSON REGRESSION ESTIMATION OF NUMBER OF CHILDREN

Main Article Content

T. LAKSHMANASAMY

Abstract

The household decision on the number of children to have is crucial not only for the family but also for the economic development of nations. The decline in fertility rates in recent years has implications for the demographic behaviour and labour force of the economy. This paper examines the factors influencing the fertility decision i.e. the number of children of households in India using 2011-12 Indian Human Development Survey-II data applying the Poisson regression estimation method. The estimated results show that household income, women’s education and age at marriage and contraceptive use drive the fertility decision of households in India. Though the effect of women employment on fertility is positive, the combined spousal income depresses fertility choice, exhibiting the price effect of women earnings. The incidence rate ratios indicate that uneducated, working and urban women are expected to have higher fertility. An increase in the age of women at marriage, contraceptive use, and household income are expected to reduce the number of children, while non-Muslim women are expected to have fewer children relative to Muslim women.

Keywords:
Household fertility decision, socioeconomic-demographic determinants, count variable, Poisson regression

Article Details

How to Cite
LAKSHMANASAMY, T. (2021). THE DETERMINANTS OF HOUSEHOLD FERTILITY DECISION IN INDIA: POISSON REGRESSION ESTIMATION OF NUMBER OF CHILDREN. Asian Journal of Arts, Humanities and Social Studies, 4(1), 30-39. Retrieved from https://www.ikprress.org/index.php/AJAHSS/article/view/6766
Section
Original Research Article

References

United Nations Population Fund. The State of World Population 2018, New York: United Nations Population Fund; 2018.

Becker GS. An economic analysis of fertility, in Demographic and Economic Change in Developed Countries, Universities-National Bureau Conference Series No. 11, Princeton: Princeton University Press. 1960;209-231.

Easterlin RA. An economic framework for fertility analysis, Studies in Family Planning. 1975;6(3):54-63.

Blake J. Are babies consumer durables? A Critique of Economic Theory of Reproductive Motivation, Population Studies. 1968;22(1):5-25.

Bongaarts J. A Framework for Analyzing the Proximate Determinants of Fertility, Population and Development Review. 1978;4(1):105-132.

Bongaarts J, Potter RG. Fertility, Biology and behavior: An analysis of the proximate determinants, New York: Academic Press; 1983.

Easterlin RA, Crimmins EM. The fertility revolution: A supply-demand analysis, Chicago: University of Chicago Press; l985.

Doepke M, Kindermann F. Intrahousehold decision making and fertility, in M. Cervellati and U. Sunde (eds.): Demographic Change and Long-Run Development, Cambridge: MIT Press. 2017;159-182.

Wang W, Famoye F. Modelling Household fertility decisions with generalized poisson regression, Journal of Population Economics. 1997;10(3):273-283.

Kamaruddin R, Md Khalili J. The Determinants of household fertility decision in Malaysia: An Econometric Analysis, Procedia Economics and Finance. 2015;23:1308-1313.

Dwivedi V, Sediadie T, Njoku OA. Factors affecting Children Ever Born (CEB) in Botswana: Application of poisson regression model, Research Journal of Mathematical and Statistical Sciences. 2016;4(10):1-9.

Mohamed A. Multilevel modelling of individual fertility decisions in Tunisia: Household and Regional Contextual Effects, Social Indicators Research. 2015;124(2):477-499.

Noumbissi A, Sanderson JP. Poverty and demographic behavior in Cameroon, in F. Gendreau (ed.): Crises, Poverty and Demographic Changes in Southern Countries, Paris: Estem. 1988;149-163.

Gandotra MM, Retherford RD, Pandey A, Luther NY, Mishra VK. Fertility in India, national family health survey subject reports No. 9, International Institute for Population Sciences Mumbai, India and East-West Center Program on Population Honolulu, Hawaii, U.S.A; 1988.

Jha R. The determinants of household level fertility in India, PRAGATI: Journal of Indian Economy. 2014;1(1):1-16.